Time series analysis of urethral obstruction in male cats in a veterinary teaching hospital in Sao paulo, Brazil.

ABSTRACT: Time series analysis can be used to understand and forecast patterns in sequential data. This study evaluated three statistical models-ARIMA, Holt-Winters, and linear regression-on the time series of urethral obstruction (UO) cases in male cats treated at the Veterinary Teaching Hospital - São Paulo State University, Botucatu, Brazil. Among the 5,230 cats evaluated between 2010 and 2020, the prevalence of UO in male cats was 7.4% (95% CI: 6.7-8.1%), and the incidence among cats showing lower urinary tract signs was 36.0% (95% CI: 33.19-38.93%). Most affected cats were neutered (60.94%), with a mean body weight of 4.24 ± 1.11 kg and higher body condition scores. ARIMA closely followed historical data but was ineffective for future forecasting, showing a flat projection from 2021 to 2024 (ra

SUBMITTER: de Moraes RS 

PROVIDER: S-EPMC12318093 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature